SAS Risk Modeling

Title Level Training Formats
Credit Scorecard Development and Implementation
This business-focused course provides a high-level introduction to credit risk management; detailed end-to-end methodology training for risk scorecard development for retail and SME portfolios; and discussions about scorecard implementation and risk strategy development and about scorecard and portfolio management reporting. The focus of the course is the development of application scorecards, but issues relating to behavior scorecard development are also explored. Detailed mechanics of scorecard development are covered, but more importantly, students learn to think critically about each phase and use a combination of business and statistical criteria to make better decisions. These objectives are reflected in three sections.

Section 1, Introduction to Credit Risk: This section provides a high-level overview of the credit risk industry, risk management tools, and strategies. Students will understand the different uses of credit risk scorecards and learn industry terminology, as well as understand the main personas involved in successful credit scoring projects.

Section 2, Risk Scorecard Development: Students learn how grouped-variable, points-based credit risk scorecards are developed, from the planning stages to delivery. The main focus is on business issues, but statistical aspects of scorecard development are also explored. Students learn practical tips and tricks for tasks such as variable binning, creating intelligent variables and scorecards, and using a wide variety of data sources.

Section 3, Implementation and Maintenance: This section covers post-development activities, including setting cutoffs, developing strategies, and creating scorecard maintenance reports. Students will understand how scorecards are used to make better decisions, enabling them to build more relevant scorecards.

4 Advanced Classroom e-Learning
Using SAS Risk Modeling
SAS Risk Modeling enables you to quickly and efficiently create analytical base tables that are used for developing credit scoring models. In this course, you learn how to create analytical base tables by calculating variables using multiple data sources. Also, you learn to use the Risk Modeling workspaces that are used for implementing models and monitoring their performance.

3 Intermediate Classroom Live Web Classroom e-Learning